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transferlearning

jindongwang / transferlearning

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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

machine-learning deep-learning paper survey style-transfer theory transfer-learning papers representation-learning unsupervised-learning tutorial-code domain-adaptation generalization transferlearning meta-learning few-shot few-shot-learning self-supervised-learning domain-generalization domain-adaption
  • Updated Feb 8, 2022
  • Python

guan-yuan / awesome-AutoML-and-Lightweight-Models

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A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

tensorflow pytorch hyperparameter-optimization awesome-list quantization nas automl model-compression neural-architecture-search meta-learning architecture-search quantized-training model-acceleration automated-feature-engineering quantized-neural-network
  • Updated Jun 19, 2021

omerbsezer / Reinforcement_learning_tutorial_with_demo

Star 522

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

machine-learning tutorial reinforcement-learning deep-reinforcement-learning q-learning pomdps policy-gradient sarsa a3c dynamic-programming imitation-learning dyna td-learning actor-critic meta-learning
  • Updated Jan 22, 2019
  • Jupyter Notebook

openml / openml-python

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Default `output_format` to `"dataframe"`

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PGijsbers
PGijsbers commented Oct 5, 2021

I propose that the several functions that take the ouput_format parameter and produce lists change their defaults to return dataframes instead of dictionaries (e.g. list_datasets).
I think originally we had loose integration with pandas and it was an optional dependency, but since it's a required dependency now I don't see a reason to provide dicts as default over dataframes. I'd argue

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